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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Oct 20, 2021
6.41 MB
Publicly accessible
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...
Authors
Beckers, K. et al National Renewable Energy Laboratory
geothermalenergymachine learningmlsubsurfacecharacterizationbrady hot springsbhspredictionreservoir modelingtime seriespcaprincipal component analysisreservoir managementreservoirdual-porositystimulationinjection testpdetemperatureflowpressuresimulationsingle-fracturedoubletheat maptensorflowcnnlstmmlphydrothermalopen source reservoirosrnevada

Subsurface Geological Information and Models in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy

Oct 27, 2019
3.29 MB
Publicly accessible
This purpose of this set of entries is to group together the materials and analytical methods used in the assessment of the natural rock properties within and surrounding two potential reservoirs.
Authors
Jordan, T. et al Cornell University
geothermalenergycornell universitylow-temperature geothermalreservoir simulationuncertainty analysisdistrict heatingdirect useappalachian basinnew york statetechno-economic analysislevelized cost of heat lcohexternality valuesenvironmental valueeconomic valueddueaenvironmentenvironmentalassessmenttemperaturelcohlevelized cost of heateffective porosityheat pumpghpwell datacharacterizationshale neutron porositycornell

Geothermal Reservoir Simulation Results in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy

Oct 29, 2019
1.62 GB
Publicly accessible
This dataset contains input data, code, ReadMe files, output data, and figures that summarize the results of a stochastic analysis of geothermal reservoir production from two potential geothermal reservoirs that were evaluated for the Cornell University Deep Direct-Use project. Th...
Authors
Smith, J. and Beckers, K. Cornell University
geothermalenergycornell universitylow-temperature geothermalreservoir simulationuncertainty analysistechno-economic analysisdirect-use heatingdistrict heatingnew york stateheat pumpslevelized cost of heat lcohexternality valuesenvironmental valueeconomic valuedirect usedducornelltrenton-black rivertough2petrasimmonte carlo analysismonte carlogeophiresstochastic analysis
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